Life Expectancy in Guinea-Bissau vs Togo (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Guinea-Bissau vs Togo: 71.3 years vs 70.1 at 30, 78.7 vs 77.3 at 65, 86.1 vs 84.7 at 80 — significantly higher than the 64.4 vs 63.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Guinea-Bissau and Togo.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Togo
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	63.1	62.9	63.4
1	67.6	65.4	69.7	65.7	65.8	65.7
2	68.2	66	70.2	66.1	66.2	66
3	68.6	66.4	70.6	66.4	66.5	66.2
4	68.8	66.6	70.8	66.6	66.7	66.5
5	69	66.8	71	66.9	66.9	66.8
6	69.1	66.9	71.1	67.1	67.1	67
7	69.2	67	71.2	67.2	67.2	67.2
8	69.3	67.1	71.3	67.4	67.3	67.4
9	69.4	67.2	71.4	67.5	67.4	67.6
10	69.5	67.3	71.4	67.6	67.5	67.7
11	69.5	67.3	71.5	67.7	67.6	67.8
12	69.6	67.4	71.6	67.8	67.6	67.9
13	69.6	67.5	71.6	67.9	67.7	68
14	69.7	67.5	71.7	67.9	67.8	68.1
15	69.8	67.6	71.7	68	67.9	68.2
16	69.8	67.7	71.8	68.1	67.9	68.3
17	69.9	67.8	71.9	68.2	68	68.4
18	70	67.9	71.9	68.4	68.1	68.6
19	70.1	68	72	68.5	68.2	68.7
20	70.2	68.1	72.1	68.6	68.4	68.9
21	70.3	68.2	72.2	68.8	68.5	69
22	70.4	68.3	72.3	68.9	68.6	69.2
23	70.5	68.5	72.4	69.1	68.8	69.4
24	70.6	68.6	72.5	69.2	68.9	69.5
25	70.7	68.7	72.5	69.4	69.1	69.7
26	70.9	68.8	72.6	69.5	69.2	69.9
27	71	69	72.7	69.7	69.3	70
28	71.1	69.1	72.8	69.8	69.5	70.2
29	71.2	69.2	72.9	70	69.6	70.4
30	71.3	69.4	73	70.1	69.7	70.5
31	71.5	69.5	73.2	70.3	69.8	70.7
32	71.6	69.7	73.3	70.4	70	70.9
33	71.7	69.8	73.4	70.6	70.1	71
34	71.8	70	73.5	70.7	70.3	71.2
35	72	70.1	73.6	70.9	70.4	71.4
36	72.1	70.3	73.7	71	70.5	71.5
37	72.3	70.4	73.8	71.2	70.7	71.7
38	72.4	70.6	74	71.3	70.8	71.9
39	72.6	70.8	74.1	71.5	71	72
40	72.7	70.9	74.2	71.7	71.1	72.2
41	72.9	71.1	74.4	71.8	71.3	72.4
42	73	71.3	74.5	72	71.4	72.5
43	73.2	71.5	74.6	72.1	71.6	72.7
44	73.4	71.7	74.8	72.3	71.8	72.9
45	73.6	71.9	74.9	72.5	71.9	73
46	73.7	72.1	75.1	72.7	72.1	73.2
47	73.9	72.3	75.3	72.8	72.3	73.3
48	74.1	72.5	75.4	73	72.5	73.5
49	74.3	72.8	75.6	73.2	72.7	73.7
50	74.5	73	75.8	73.4	72.9	73.9
51	74.8	73.2	76	73.6	73.1	74
52	75	73.5	76.1	73.8	73.3	74.2
53	75.2	73.8	76.3	74	73.6	74.4
54	75.5	74	76.5	74.2	73.8	74.6
55	75.7	74.3	76.8	74.5	74	74.8
56	76	74.6	77	74.7	74.3	75.1
57	76.2	74.9	77.2	74.9	74.6	75.3
58	76.5	75.2	77.4	75.2	74.9	75.5
59	76.8	75.5	77.7	75.5	75.1	75.7
60	77.1	75.9	77.9	75.7	75.4	76
61	77.4	76.2	78.2	76	75.8	76.3
62	77.7	76.6	78.5	76.3	76.1	76.5
63	78	77	78.8	76.6	76.4	76.8
64	78.4	77.3	79.1	77	76.8	77.2
65	78.7	77.7	79.4	77.3	77.1	77.5
66	79.1	78.2	79.7	77.7	77.5	77.8
67	79.5	78.6	80.1	78.1	77.9	78.2
68	79.9	79	80.5	78.4	78.3	78.6
69	80.3	79.5	80.8	78.8	78.7	79
70	80.7	80	81.2	79.3	79.1	79.4
71	81.2	80.5	81.7	79.7	79.6	79.8
72	81.6	81	82.1	80.2	80.1	80.3
73	82.1	81.5	82.6	80.7	80.6	80.8
74	82.6	82	83.1	81.2	81.1	81.3
75	83.2	82.6	83.6	81.7	81.6	81.8
76	83.7	83.2	84.1	82.3	82.2	82.4
77	84.3	83.8	84.6	82.9	82.8	82.9
78	84.9	84.4	85.2	83.5	83.4	83.5
79	85.5	85.1	85.8	84.1	84	84.1
80	86.1	85.7	86.4	84.7	84.7	84.8
81	86.8	86.4	87	85.4	85.3	85.5
82	87.4	87.1	87.7	86.1	86	86.2
83	88.1	87.8	88.3	86.8	86.7	86.9
84	88.8	88.5	89	87.5	87.5	87.6
85	89.5	89.2	89.7	88.3	88.2	88.4
86	90.3	90	90.4	89.1	89	89.1
87	91	90.8	91.2	89.8	89.7	89.9
88	91.8	91.6	91.9	90.6	90.5	90.7
89	92.6	92.4	92.7	91.4	91.3	91.5
90	93.4	93.2	93.5	92.2	92.2	92.3
91	94.2	94	94.3	93.1	93	93.2
92	95	94.9	95.1	94	93.9	94
93	95.9	95.7	95.9	94.9	94.8	94.9
94	96.7	96.6	96.8	95.8	95.7	95.8
95	97.6	97.4	97.6	96.7	96.6	96.7
96	98.4	98.3	98.5	97.6	97.5	97.6
97	99.3	99.2	99.4	98.5	98.5	98.6
98	100.2	100.1	100.3	99.5	99.4	99.5
99	101.1	101	101.2	100.4	100.4	100.4
100	102	101.9	102.1	101.4	101.3	101.4

Odds of living to age in Guinea-Bissau vs Togo

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 70.2% in Togo are expected to survive till at least 60 years old, 54% and 52.1% will live to 70 years or older, 27.3% and 22.2% to 80+ years, and 5.25% and 2.04% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Guinea-Bissau			Togo
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	96%	95.6%	96.4%
2	94.4%	93.9%	95%	95.5%	95%	96.1%
3	93.9%	93.3%	94.5%	95.1%	94.5%	95.7%
4	93.5%	92.9%	94.1%	94.7%	94.1%	95.3%
5	93.3%	92.7%	93.9%	94.4%	93.9%	94.9%
6	93.1%	92.5%	93.7%	94.1%	93.6%	94.5%
7	92.9%	92.3%	93.6%	93.8%	93.4%	94.2%
8	92.8%	92.2%	93.4%	93.6%	93.3%	93.9%
9	92.7%	92%	93.3%	93.4%	93.1%	93.6%
10	92.6%	91.9%	93.2%	93.2%	93%	93.4%
11	92.5%	91.8%	93.2%	93%	92.8%	93.2%
12	92.4%	91.7%	93.1%	92.9%	92.7%	93.1%
13	92.3%	91.6%	93%	92.8%	92.6%	92.9%
14	92.2%	91.5%	92.9%	92.6%	92.5%	92.8%
15	92.1%	91.4%	92.8%	92.5%	92.4%	92.6%
16	92%	91.2%	92.7%	92.3%	92.2%	92.4%
17	91.8%	91.1%	92.6%	92.1%	92%	92.2%
18	91.7%	90.9%	92.4%	91.9%	91.9%	91.9%
19	91.5%	90.7%	92.3%	91.7%	91.7%	91.6%
20	91.3%	90.5%	92.2%	91.4%	91.4%	91.3%
21	91.1%	90.3%	92%	91.1%	91.2%	91%
22	90.9%	90%	91.8%	90.8%	90.9%	90.7%
23	90.7%	89.8%	91.7%	90.5%	90.6%	90.4%
24	90.5%	89.5%	91.5%	90.2%	90.3%	90.1%
25	90.3%	89.3%	91.3%	89.9%	90%	89.7%
26	90.1%	89%	91.1%	89.6%	89.8%	89.4%
27	89.8%	88.7%	91%	89.3%	89.5%	89.1%
28	89.6%	88.4%	90.8%	89%	89.2%	88.7%
29	89.3%	88.1%	90.5%	88.6%	88.9%	88.3%
30	89.1%	87.8%	90.3%	88.3%	88.7%	88%
31	88.8%	87.5%	90.1%	88%	88.4%	87.6%
32	88.5%	87.2%	89.9%	87.7%	88.1%	87.2%
33	88.2%	86.9%	89.6%	87.3%	87.7%	86.9%
34	87.9%	86.5%	89.4%	87%	87.4%	86.5%
35	87.6%	86.1%	89.1%	86.6%	87.1%	86.1%
36	87.3%	85.8%	88.8%	86.2%	86.7%	85.7%
37	86.9%	85.4%	88.5%	85.9%	86.4%	85.3%
38	86.6%	84.9%	88.2%	85.5%	86%	84.9%
39	86.2%	84.5%	87.9%	85.1%	85.6%	84.5%
40	85.8%	84%	87.6%	84.7%	85.2%	84.1%
41	85.4%	83.5%	87.2%	84.2%	84.8%	83.6%
42	84.9%	83%	86.9%	83.8%	84.4%	83.2%
43	84.4%	82.5%	86.5%	83.3%	83.9%	82.7%
44	84%	81.9%	86.1%	82.8%	83.4%	82.3%
45	83.4%	81.3%	85.6%	82.3%	82.8%	81.8%
46	82.9%	80.7%	85.2%	81.8%	82.3%	81.3%
47	82.3%	80%	84.7%	81.2%	81.7%	80.8%
48	81.7%	79.3%	84.2%	80.7%	81.1%	80.3%
49	81.1%	78.5%	83.7%	80.1%	80.4%	79.7%
50	80.4%	77.7%	83.1%	79.4%	79.7%	79.2%
51	79.7%	76.9%	82.5%	78.8%	79%	78.5%
52	78.9%	76%	81.9%	78%	78.2%	77.9%
53	78.1%	75%	81.2%	77.2%	77.3%	77.2%
54	77.3%	74%	80.5%	76.4%	76.4%	76.4%
55	76.3%	73%	79.7%	75.5%	75.4%	75.6%
56	75.4%	71.8%	78.9%	74.6%	74.3%	74.8%
57	74.4%	70.7%	78.1%	73.6%	73.2%	73.9%
58	73.3%	69.5%	77.2%	72.6%	72.1%	73%
59	72.2%	68.2%	76.2%	71.4%	70.8%	72%
60	71%	66.8%	75.2%	70.2%	69.5%	70.9%
61	69.7%	65.3%	74%	68.9%	68.1%	69.7%
62	68.4%	63.8%	72.8%	67.5%	66.5%	68.4%
63	66.9%	62.1%	71.5%	66%	64.9%	67%
64	65.3%	60.4%	70.1%	64.3%	63.2%	65.4%
65	63.7%	58.5%	68.5%	62.6%	61.4%	63.8%
66	62%	56.6%	66.9%	60.7%	59.5%	62%
67	60.1%	54.6%	65.2%	58.8%	57.4%	60.1%
68	58.2%	52.5%	63.3%	56.7%	55.3%	58%
69	56.1%	50.3%	61.4%	54.5%	53.1%	55.9%
70	54%	48%	59.3%	52.1%	50.7%	53.5%
71	51.7%	45.6%	57%	49.6%	48.2%	51%
72	49.3%	43.2%	54.6%	46.9%	45.5%	48.3%
73	46.8%	40.7%	52.1%	44.1%	42.7%	45.5%
74	44.2%	38%	49.4%	41.2%	39.8%	42.5%
75	41.5%	35.4%	46.7%	38.1%	36.8%	39.4%
76	38.7%	32.7%	43.8%	35%	33.7%	36.2%
77	35.8%	30%	40.9%	31.8%	30.5%	33%
78	33%	27.3%	37.9%	28.6%	27.4%	29.8%
79	30.1%	24.7%	34.8%	25.4%	24.3%	26.5%
80	27.3%	22.1%	31.8%	22.2%	21.2%	23.2%
81	24.4%	19.5%	28.7%	19.2%	18.3%	20.1%
82	21.7%	17.1%	25.8%	16.3%	15.5%	17.1%
83	19.1%	14.8%	22.8%	13.6%	12.9%	14.3%
84	16.6%	12.7%	20%	11.1%	10.5%	11.7%
85	14.2%	10.7%	17.3%	8.94%	8.41%	9.43%
86	12%	8.89%	14.7%	7.03%	6.58%	7.45%
87	9.97%	7.28%	12.4%	5.39%	5.01%	5.75%
88	8.18%	5.87%	10.3%	4.03%	3.71%	4.33%
89	6.61%	4.65%	8.4%	2.92%	2.65%	3.17%
90	5.25%	3.63%	6.76%	2.04%	1.83%	2.24%
91	4.09%	2.77%	5.32%	1.37%	1.21%	1.53%
92	3.15%	2.08%	4.14%	0.89%	0.77%	1%
93	2.36%	1.53%	3.15%	0.55%	0.47%	0.63%
94	1.74%	1.1%	2.34%	0.33%	0.27%	0.39%
95	1.25%	0.78%	1.71%	0.19%	0.15%	0.23%
96	0.88%	0.53%	1.21%	0.11%	0.08%	0.13%
97	0.61%	0.36%	0.84%	0.06%	0.04%	0.07%
98	0.41%	0.24%	0.57%	0.03%	0.02%	0.04%
99	0.27%	0.15%	0.38%	0.02%	0.01%	0.02%
100	0.17%	0.09%	0.25%	0.008%	0.005%	0.01%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.74% in the birth year in Guinea-Bissau and 3.98% in Togo, 0.3% vs 0.37% at age 30, 1.83% vs 1.87% at 60, and 10.4% vs 13.7% at 80.

Below is a graph displaying the probabilities of dying in Guinea-Bissau compared to Togo at any given age.

Table

Age	Probability of dying
	Guinea-Bissau			Togo
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	3.98%	4.4%	3.55%
1	0.9%	0.95%	0.85%	0.51%	0.63%	0.4%
2	0.55%	0.58%	0.52%	0.45%	0.5%	0.41%
3	0.38%	0.4%	0.35%	0.4%	0.39%	0.41%
4	0.27%	0.29%	0.25%	0.36%	0.31%	0.41%
5	0.2%	0.22%	0.19%	0.33%	0.25%	0.4%
6	0.17%	0.18%	0.15%	0.29%	0.21%	0.37%
7	0.14%	0.15%	0.13%	0.25%	0.18%	0.32%
8	0.13%	0.14%	0.11%	0.21%	0.16%	0.27%
9	0.11%	0.12%	0.1%	0.18%	0.14%	0.23%
10	0.11%	0.12%	0.1%	0.16%	0.13%	0.19%
11	0.1%	0.11%	0.09%	0.15%	0.13%	0.17%
12	0.11%	0.11%	0.1%	0.14%	0.13%	0.16%
13	0.11%	0.12%	0.1%	0.15%	0.13%	0.16%
14	0.12%	0.13%	0.11%	0.16%	0.14%	0.18%
15	0.13%	0.15%	0.12%	0.18%	0.16%	0.21%
16	0.15%	0.17%	0.13%	0.21%	0.17%	0.24%
17	0.16%	0.19%	0.14%	0.24%	0.2%	0.28%
18	0.18%	0.21%	0.15%	0.27%	0.22%	0.31%
19	0.19%	0.23%	0.16%	0.29%	0.25%	0.33%
20	0.21%	0.25%	0.16%	0.31%	0.28%	0.34%
21	0.22%	0.27%	0.17%	0.32%	0.3%	0.35%
22	0.23%	0.28%	0.18%	0.33%	0.31%	0.35%
23	0.24%	0.29%	0.19%	0.34%	0.32%	0.36%
24	0.25%	0.3%	0.2%	0.34%	0.32%	0.37%
25	0.25%	0.31%	0.2%	0.34%	0.31%	0.38%
26	0.26%	0.31%	0.21%	0.35%	0.3%	0.39%
27	0.27%	0.32%	0.22%	0.35%	0.3%	0.4%
28	0.28%	0.33%	0.23%	0.36%	0.31%	0.41%
29	0.29%	0.34%	0.24%	0.36%	0.32%	0.41%
30	0.3%	0.36%	0.25%	0.37%	0.33%	0.42%
31	0.31%	0.37%	0.26%	0.38%	0.35%	0.42%
32	0.33%	0.39%	0.27%	0.39%	0.37%	0.42%
33	0.34%	0.41%	0.28%	0.4%	0.38%	0.43%
34	0.36%	0.42%	0.3%	0.41%	0.39%	0.43%
35	0.38%	0.45%	0.31%	0.42%	0.4%	0.45%
36	0.4%	0.47%	0.33%	0.43%	0.41%	0.46%
37	0.42%	0.5%	0.34%	0.45%	0.42%	0.48%
38	0.44%	0.53%	0.36%	0.47%	0.44%	0.49%
39	0.47%	0.55%	0.38%	0.49%	0.47%	0.51%
40	0.5%	0.59%	0.41%	0.51%	0.5%	0.53%
41	0.52%	0.61%	0.42%	0.54%	0.53%	0.54%
42	0.55%	0.66%	0.45%	0.56%	0.57%	0.55%
43	0.58%	0.69%	0.47%	0.58%	0.61%	0.56%
44	0.61%	0.73%	0.49%	0.61%	0.64%	0.58%
45	0.65%	0.78%	0.52%	0.63%	0.68%	0.59%
46	0.69%	0.83%	0.55%	0.66%	0.71%	0.61%
47	0.73%	0.88%	0.58%	0.7%	0.76%	0.64%
48	0.78%	0.95%	0.63%	0.75%	0.81%	0.68%
49	0.83%	1.02%	0.67%	0.8%	0.87%	0.73%
50	0.91%	1.1%	0.73%	0.86%	0.94%	0.78%
51	0.95%	1.16%	0.76%	0.93%	1.02%	0.84%
52	1.03%	1.26%	0.83%	1%	1.11%	0.9%
53	1.1%	1.34%	0.88%	1.08%	1.19%	0.97%
54	1.17%	1.43%	0.95%	1.15%	1.28%	1.03%
55	1.25%	1.52%	1.01%	1.23%	1.38%	1.09%
56	1.33%	1.63%	1.09%	1.32%	1.48%	1.17%
57	1.42%	1.73%	1.16%	1.43%	1.6%	1.26%
58	1.54%	1.88%	1.27%	1.55%	1.73%	1.38%
59	1.66%	2.02%	1.37%	1.7%	1.88%	1.52%
60	1.83%	2.22%	1.53%	1.87%	2.05%	1.69%
61	1.94%	2.36%	1.63%	2.05%	2.24%	1.88%
62	2.14%	2.59%	1.81%	2.26%	2.44%	2.09%
63	2.32%	2.8%	1.98%	2.48%	2.65%	2.31%
64	2.52%	3.04%	2.17%	2.71%	2.88%	2.54%
65	2.74%	3.29%	2.38%	2.95%	3.12%	2.79%
66	2.95%	3.54%	2.58%	3.23%	3.4%	3.07%
67	3.21%	3.84%	2.83%	3.54%	3.71%	3.38%
68	3.52%	4.17%	3.12%	3.91%	4.07%	3.76%
69	3.83%	4.52%	3.41%	4.33%	4.49%	4.19%
70	4.28%	4.99%	3.85%	4.83%	4.97%	4.69%
71	4.59%	5.34%	4.14%	5.39%	5.52%	5.26%
72	5.12%	5.9%	4.65%	6%	6.14%	5.88%
73	5.59%	6.41%	5.09%	6.68%	6.83%	6.55%
74	6.13%	6.99%	5.6%	7.41%	7.58%	7.26%
75	6.72%	7.61%	6.16%	8.21%	8.41%	8.04%
76	7.31%	8.25%	6.72%	9.1%	9.32%	8.91%
77	7.94%	8.92%	7.3%	10.1%	10.3%	9.88%
78	8.73%	9.74%	8.06%	11.2%	11.4%	11%
79	9.44%	10.5%	8.73%	12.4%	12.6%	12.2%
80	10.4%	11.5%	9.64%	13.7%	13.9%	13.6%
81	11.1%	12.3%	10.3%	15.1%	15.3%	15%
82	12.2%	13.4%	11.4%	16.6%	16.8%	16.5%
83	13.2%	14.5%	12.4%	18.1%	18.3%	17.9%
84	14.4%	15.7%	13.6%	19.7%	20%	19.4%
85	15.5%	16.9%	14.7%	21.4%	21.8%	21%
86	16.7%	18.1%	15.9%	23.2%	23.8%	22.8%
87	17.9%	19.4%	17%	25.3%	26%	24.7%
88	19.2%	20.7%	18.3%	27.6%	28.5%	26.9%
89	20.5%	22%	19.6%	30.1%	31.1%	29.3%
90	22.1%	23.6%	21.2%	32.7%	33.9%	31.8%
91	23.2%	24.8%	22.3%	35.3%	36.5%	34.3%
92	24.8%	26.5%	24%	37.7%	39.1%	36.7%
93	26.4%	28%	25.5%	40%	41.5%	38.9%
94	28%	29.6%	27.1%	42%	43.7%	41%
95	29.7%	31.3%	28.9%	44%	45.7%	42.9%
96	31.3%	32.8%	30.5%	45.8%	47.7%	44.7%
97	32.8%	34.3%	32.1%	47.6%	49.5%	46.5%
98	34.3%	35.7%	33.5%	49.3%	51.3%	48.3%
99	36.1%	37.5%	35.4%	51.1%	53.1%	50.1%
100	37.6%	38.9%	36.9%	52.9%	55%	52%

Death rate by age in Guinea-Bissau compared to Togo

In Guinea-Bissau, the most common age of death is 0, compared to 0 in Togo. The median age of death is 71.7 in Guinea-Bissau and 70.8 in Togo — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Togo
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	3,983	4,402	3,554
1	859	901	814	494	604	381
2	520	549	489	432	473	390
3	355	376	333	384	372	396
4	250.9	265.4	235.9	344	295.8	393
5	190	201.4	178.1	307	238.8	378
6	156.3	167	145.2	270.9	196.9	347
7	132.7	142.9	122	234	166.9	303
8	116	125.7	106	199.6	145.8	254.9
9	105.2	114.4	95.6	170.8	131.7	210.9
10	99	107.5	90.1	149.8	123.2	177.2
11	96.1	104	88	137.6	119.4	156.3
12	97.3	105.4	88.9	133.5	119.6	147.7
13	101.8	110.7	92.5	137.4	123.9	151.2
14	109.8	120.5	98.8	148.7	132.1	165.7
15	120.7	133.5	107.4	167.1	144.3	190.4
16	135.3	152.1	117.9	191.2	160.7	222.4
17	149.7	172.1	126.6	218	181.1	255.8
18	165	193.1	136.1	244.2	204.8	284.7
19	178.2	211.3	144	266.6	230.3	304
20	190.3	227.9	151.5	283.6	254.7	313
21	200.8	241.9	158.4	295.2	274.2	317
22	209.9	253.2	165.3	302	286.1	318
23	217.3	261.3	172	305	289.2	322
24	223.9	267.7	178.9	307	285.4	329
25	229.8	272.8	185.5	308	278.5	338
26	235.8	278.2	192.3	310	272.3	349
27	242.4	284.3	199.3	313	270.1	357
28	250.3	292.1	207.3	318	273.4	363
29	257.8	301	214	324	282.1	366
30	269.2	313	224.4	330	295	366
31	276.2	321	230	337	309	366
32	290.6	338	242.4	345	323	367
33	303	352	252.9	352	333	370
34	317	367	264.6	358	341	376
35	333	387	277.5	366	347	385
36	348	405	291	374	353	396
37	364	424	304	385	363	408
38	385	447	322	399	378	420
39	403	467	336	415	398	432
40	428	496	357	433	424	442
41	442	514	368	451	451	451
42	471	547	392	470	480	459
43	490	571	407	487	508	466
44	514	601	425	504	533	474
45	544	638	448	522	559	484
46	568	668	469	543	587	499
47	599	707	493	569	618	520
48	638	753	527	602	656	547
49	676	799	559	641	700	581
50	728	857	606	686	751	621
51	759	894	631	735	807	662
52	816	956	683	784	864	704
53	857	1,004	719	833	922	745
54	906	1,058	764	882	980	784
55	952	1,109	806	932	1,039	826
56	1,005	1,168	857	987	1,102	873
57	1,057	1,226	906	1,050	1,170	932
58	1,128	1,302	977	1,125	1,247	1,005
59	1,196	1,377	1,044	1,212	1,333	1,093
60	1,297	1,480	1,150	1,310	1,426	1,197
61	1,353	1,543	1,206	1,416	1,524	1,311
62	1,461	1,652	1,321	1,525	1,624	1,429
63	1,550	1,741	1,415	1,634	1,722	1,548
64	1,644	1,832	1,518	1,741	1,820	1,664
65	1,746	1,928	1,632	1,848	1,918	1,780
66	1,828	2,001	1,725	1,960	2,021	1,902
67	1,933	2,094	1,843	2,081	2,131	2,033
68	2,050	2,191	1,978	2,215	2,252	2,180
69	2,151	2,274	2,094	2,361	2,383	2,342
70	2,312	2,395	2,285	2,516	2,521	2,513
71	2,374	2,439	2,358	2,672	2,660	2,683
72	2,526	2,551	2,538	2,818	2,794	2,842
73	2,616	2,607	2,649	2,946	2,914	2,978
74	2,707	2,658	2,768	3,052	3,015	3,088
75	2,786	2,692	2,875	3,131	3,091	3,170
76	2,828	2,696	2,941	3,183	3,138	3,229
77	2,846	2,676	2,984	3,208	3,151	3,263
78	2,880	2,661	3,053	3,199	3,127	3,269
79	2,843	2,591	3,039	3,151	3,061	3,238
80	2,829	2,532	3,064	3,055	2,949	3,156
81	2,705	2,394	2,950	2,905	2,791	3,014
82	2,655	2,302	2,939	2,703	2,591	2,811
83	2,528	2,153	2,834	2,460	2,357	2,559
84	2,390	1,998	2,716	2,190	2,100	2,276
85	2,201	1,804	2,538	1,910	1,833	1,983
86	2,005	1,612	2,341	1,632	1,566	1,696
87	1,786	1,410	2,113	1,365	1,306	1,422
88	1,572	1,216	1,886	1,112	1,057	1,165
89	1,352	1,024	1,643	878	826	928
90	1,160	855	1,434	667	618	712
91	948	687	1,184	484	442	524
92	781	551	991	335	299.9	368
93	623	429	802	221.3	193.7	247
94	487	327	636	139.8	119.3	158.8
95	373	243.2	494	84.7	70.3	98.1
96	275.8	175.3	371	49.5	39.8	58.4
97	198.6	123	270.6	27.9	21.6	33.6
98	139.3	84.1	192.3	15.2	11.3	18.7
99	96.5	56.7	135	7.95	5.7	10
100	10	0	23.8	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Guinea-Bissau and Togo demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Guinea-Bissau vs Togo: Facts and Figures

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size